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  2. Bass diffusion model - Wikipedia

    en.wikipedia.org/wiki/Bass_diffusion_model

    The Bass model has been widely used in forecasting, especially new product sales forecasting and technology forecasting. Mathematically, the basic Bass diffusion is a Riccati equation with constant coefficients equivalent to Verhulst—Pearl logistic growth. In 1969, Frank Bass published his paper on a new product growth model for consumer ...

  3. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    Some of the reasons why businesses require demand forecasting include: Meeting goals - Most successful organisations will have pre-determined growth trajectories and long-term plans to ensure the business is operating at an ideal output. By having an understanding of future demand markets, businesses can be proactive in ensuring that goals will ...

  4. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.

  5. Financial forecast - Wikipedia

    en.wikipedia.org/wiki/Financial_forecast

    A financial forecast is an estimate of future financial outcomes for a company or project, usually applied in budgeting, capital budgeting and / or valuation. Depending on context, the term may also refer to listed company (quarterly) earnings guidance .

  6. Tracking signal - Wikipedia

    en.wikipedia.org/wiki/Tracking_signal

    Forecasts can relate to sales, inventory, or anything pertaining to an organization's future demand. The tracking signal is a simple indicator that forecast bias is present in the forecast model. It is most often used when the validity of the forecasting model might be in doubt.

  7. Trade promotion forecasting - Wikipedia

    en.wikipedia.org/wiki/Trade_Promotion_Forecasting

    A bottom-up sales forecast at the SKU-account/POS level requires taking into account product attributes, historical sales levels and store specifics. The large number of different variables which describe the product, the store and the promotion attributes, both quantitative and qualitative, could potentially have many different values.

  8. Product forecasting - Wikipedia

    en.wikipedia.org/wiki/Product_forecasting

    Product forecasting is the science of predicting the degree of success a new product will enjoy in the marketplace. To do this, the forecasting model must take into account such things as product awareness , distribution , price , fulfilling unmet needs and competitive alternatives.

  9. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    The actions are usually sales, marketing and customer retention related. For example, a large consumer organization such as a mobile telecommunications operator will have a set of predictive models for product cross-sell , product deep-sell (or upselling ) and churn .

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